101 to 125 of 139 Pandas Jobs

space domain data DoD 8570 IAT Level II certification (e.g., Security+ CE, CCNA-Security) Robust knowledge of orbital mechanics Experience with applying Python numerical and libraries such as NumPy, Pandas, Matplotlib, SciPy, etc. Excellent problem solving and critical thinking skills, with a track record of resolving complex orbital anomalies Familiarity with Linux-based OS, particularly Red Hat or Suse. Proficiency More ❯

not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of More ❯

an agile cross functional setup and with a broad range of partners. Proficiency with Python (or similar languages) and its libraries for machine learning such as PySpark, scikit-learn, pandas and pytorch. Prior experience with general software development practices including code management (Git) and testing. Collaborative spirit and a playful can-do attitude. Persistent with a well-rounded view on More ❯

Vision, or related technical discipline. Good knowledge of machine learning and computer vision algorithms. Familiarity with real-time imaging pipelines. Experience with scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit's, etc. Experience in standard software engineering practices including version control systems and software testing methodologies. Excellent oral and written communication skills. Analytical thinker, attentive to details More ❯

on Data Science operations Technical Skills: Python Proficiency: Strong Python programming skills, with experience in developing and maintaining analytics packages and tools. Familiarity with data science libraries such as pandas and scikit-learn SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms Data Tools: Familiarity with More ❯

Position requires Masters/equivalent in CS, CIS, Engineering or related field and 1 year of IT experience; including SpaCy, TensorFlow, Flask, PyTorch, NLTK, Matplotlib, Seaborn, Pandas, NumPy, Selenium, Scikit-learn, PyMongo, MySQL, Mongo DB, AWS Redshift, Neo4j, Tableau, AWS QuickSight, S3, SageMaker, Lambda, CloudWatch, Git, VSCode, Jira, Jenkins, and CI/CD. $121,867/yr. Position requires travel More ❯

. Utilise SQL for data extraction, transformation, and analysis. Skills & Experience Proven experience working as a Pricing Analyst. Strong proficiency in SQL and Python (including data libraries such as pandas, NumPy, scikit-learn, etc.) Skilled in Power BI or equivalent visualisation platforms. Background in retail, ticketing, or loyalty environments preferred. Experience in clustering, segmentation, and data modelling. Location: Shepherds Bush More ❯

. Utilise SQL for data extraction, transformation, and analysis. Skills & Experience Proven experience working as a Pricing Analyst. Strong proficiency in SQL and Python (including data libraries such as pandas, NumPy, scikit-learn, etc.) Skilled in Power BI or equivalent visualisation platforms. Background in retail, ticketing, or loyalty environments preferred. Experience in clustering, segmentation, and data modelling. Location: Shepherd's More ❯

research and insights. What we're looking for: Strong hands-on experience with time-series modelling (ARIMA, VAR, GARCH, Prophet, LSTMs, Transformers, etc.). Proficiency in the Python ecosystem (pandas, scikit-learn, statsmodels, PyTorch/TensorFlow; polars/dask a plus). Familiarity with SQL and handling large datasets. Curiosity and interest in financial markets and macroeconomics . Master's More ❯

across EMEA to drive productivity and efficiency. Own sales operations functions including pipeline management, incentive compensation, deal desk, lead management, and contact centre operations . Use SQL and Python (Pandas, PySpark) to analyse data, automate workflows, and generate insights. Design and manage ETL/ELT processes, data models, and reporting automation . Leverage Databricks, Snowflake, and GCP to enable scalable More ❯

in advanced statistics and hands-on coding, this role is tailored for you. You'll lead high-impact survey analytics projects, working with large, complex datasets using Python (NumPy, pandas, scikit-learn, etc.), statistical modeling, and advanced visualization techniques. Your insights will influence strategic direction in a fast-paced cleared environment. This role is 100% on-site in Chantilly, VA More ❯

experience in data analysis and reporting, 1+ years of experience performing data analysis in the solar industry strongly preferred Advanced skills with the Python programming language and specifically the pandas and numpy data analysis packages, 1+ years experience required, 3+ years preferred Knowledge of residential solar system equipment and operation preferred Strong analytical skills with the ability to exercise independent More ❯

Data Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g. More ❯

multimodal foundation models and generative AI frameworks' exploration, development, and implementation. Extensive experience with common machine learning Python frameworks such as TensorFlow and PyTorch; and Python libraries such as pandas, and computer vision libraries such as OpenCV. Experience in ONNX and TensorRT. Very comfortable working in Linux environment. Familiarity with software development tools and agile development practices. 6 years experience More ❯

degree in a quantitative field (e.g. Statistics, Mathematics, Physics, Machine Learning) You're confident in Python (production-level) and SQL, and at home with modern ML libraries such as Pandas, scikit-learn, and TensorFlow You have practical experience with MLOps frameworks and deploying models You're skilled at bringing data to life through visualisation, and tools like Tableau feel natural More ❯

NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index. Experience using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or Antigravity. Experience applying complex mathematical and statistical concepts. Experience applying statistical and operations research methods and tools. Experience employing spreadsheets for data manipulation and visualization. CA Pay More ❯

industry experience, or an MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data and scalable model More ❯

a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and More ❯

and publication; ability to coordinate and support cross- community meetings and • working groups; assimilate large volumes of information, and independently produce reports using data science focused libraries such as Pandas, Scikit, TensorFlow and Gensim to answer analytical questions • Current/active TS/SCI clearance Desired Qualifications/Skills: • Knowledge of Army structure and defense level intelligence operations: intelligence collection More ❯

and publication; ability to coordinate and support cross- community meetings and • working groups; assimilate large volumes of information, and independently produce reports using data science focused libraries such as Pandas, Scikit, TensorFlow and Gensim to answer analytical questions • Current/active TS/SCI clearance Desired Qualifications/Skills: • Knowledge of Army structure and defense level intelligence operations: intelligence collection More ❯

with exposure to Natural Gas and Power markets, balancing mechanisms, and regulatory frameworks (e.g., REMIT, EMIR). Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in cloud platforms (preferably Azure) and services such as More ❯

in financial data analysis, equity research, financial modeling, or a related field Strong coding proficiency in Python or R for data analysis and workflow optimization Advanced experience working with Pandas (Python) or dplyr (R) Deep understanding of financial statements, financial modeling, and industry analysis Competency in applied statistics, with emphasis on descriptive statistics and statistical inference Basic knowledge of relational More ❯

databases and dashboarding software such as Power BI or Tableau is important. Familiarity with programming languages such as Python or R and their associated data analysis libraries (e.g., NumPy, Pandas, scikit-learn) is a plus. Statistical Expertise: Strong understanding of statistics, including descriptive statistics, regression, probability, sampling, and hypothesis testing. Communication: Excellent written and verbal presentation skills, with the ability More ❯

Required Qualifications: Active TS/SCI clearance with polygraph required to start. 5+ years working with Python especially with creating Jupyter notebooks and working with core data science libraries (pandas, scikit-learn, matplotlib, and others). 1+ year experience working with Unix environments including common terminal commands 1+ year experience with Git and GitHub and using it collaboratively as part More ❯

years, bachelor's with 8 years, master's with 6 years, or PhD with 4 years Proficiency in data science languages and tools (e.g., Python, R, SQL, Jupyter, Pandas, Scikit-learn) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and big data platforms (e.g., Spark, Hadoop) Strong background in statistics, data modeling, and algorithm development Ability to explain complex data More ❯